Facial Recognizer for Healthcare

Overview

An AI-based facial recognition system designed for healthcare use cases, built to detect and identify faces with high accuracy using classical computer vision techniques. The project focuses on applying machine learning and image processing concepts to a practical real-world domain.

Project Description

The system was built using Python and OpenCV, implementing the Viola-Jones algorithm for face detection and Haar-like features for recognition. It processes images to detect facial regions and match them against stored data for identification. The application integrates image processing with a structured database layer for storing and retrieving recognized identities, making it suitable for controlled healthcare environments.

My Contribution

Collaborated with developing the face recognition code using OpenCV library, helped with database implementation, and UI designed in collaboration with my team.

Reflection

This project strengthened my understanding of classical computer vision techniques and their real-world applications. It also improved my ability to integrate machine learning-based processing with database systems in a structured and efficient way.

Tech Stack